Senior Data Engineer

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August 26

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Kainos

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At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier.

1001 - 5000 employees

💰 Venture Round on 1986-04

📋 Description

• Design and develop data processing and data persistence software components for solutions handling data at scale • Work in multi-skilled agile teams, providing development leadership and taking responsibility for significant technical components • Develop data processing software primarily for deployment in Big Data technologies • Participate in the full software lifecycle including design, code, test and defect resolution • Work with Architects and Lead Engineers to ensure the software supports non-functional needs • Collaborate with colleagues to resolve implementation challenges and ensure code quality and maintainability; lead by example in code quality • Work with operations teams to ensure operational readiness • Advise customers and managers on estimated effort and technical implications of user stories and user journeys • Coach and mentor team members

🎯 Requirements

• Strong software development experience in one of Java, Scala, or Python • Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks • Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment • Proficient in SQL and SQL extensions for analytical queries • Solid understanding of ETL/ELT data processing pipelines and design patterns • Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats • Able to write quality, testable code and has experience of automated testing • Experience with Continuous Integration and Continuous Deployment techniques • A keen interest in AI technologies • (Desirable) Experience of performance tuning • (Desirable) Experience of data visualisation and complex data transformations • (Desirable) Experience with streaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products • (Desirable) Expertise in continuous improvement and sharing input on data best practice • (Desirable) Practical experience with AI technologies, tools, processes and delivery

🏖️ Benefits

• People-first culture • Your ideas are valued • Your growth is supported • Benefits offered (unspecified) • Exciting work and cutting-edge technologies • Ranked in the Sunday Times Top 100 Best Companies • Talent acquisition support and recruitment accommodations